Solutions Architect

About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role We are looking for a Solution Architect to join our delivery team. You will own end-to-end solution design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with our customer stakeholders , platform engineers, SREs, DevOps engineers and AI developers to ensure that what gets designed gets built, and built right. Responsibilities Define end-to-end solution architectures that map client business requirements to scalable technical designs Design and guide Kubernetes-based architectures supporting AI and application workloads Lead solution design across cloud infrastructure, application services, data flows, and integrations Work hands-on with public cloud services to shape deployable, production-ready solutions Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed Support architecture workshops and design sessions with internal teams and client stakeholders Ensure solutions align with SDLC practices from design through build, test, deployment, and operation Design application and system architectures spanning APIs, services, and multi- component systems Contribute to platform engineering efforts that enable teams to build and operate AI Co-Workers efficiently Balance technical excellence with pragmatism, weighing cost, scalability, security, and delivery speed Minimum Qualifications Bachelor's degree in Computer Science , Software Engineering, Information Systems or related field <span class="NormalTextRun SCXW78843938